UvT-WSD1: A Cross-Lingual Word Sense Disambiguation System

Abstract

This paper describes the Cross-Lingual Word Sense Disambiguation system UvT-WSD1, developed at Tilburg University, for participation in two SemEval-2 tasks: the Cross-Lingual Word Sense Disambiguation task and the Cross-Lingual Lexical Substitution task. The UvT-WSD1 system makes use of k-nearest neighbour classifiers, in the form of single-word experts for each target word to be disambiguated. These classifiers can be constructed using a variety of local and global context features, and these are mapped onto the translations, i.e. the senses, of the words. The system works for a given language-pair, either English-Dutch or English-Spanish in the current implementation, and takes a word-aligned parallel corpus as its input.